id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_23cetdgvhrdpvdevpor2azsreu	Lorena Otero-Cerdeira	Ontology matching: A literature review	2015	23	.pdf	application/pdf	23012	2733	58	The different categories identified cover the most prominent fields of interest in ontology matching. This category includes the publications devoted to surveying and reviewing the field of ontology matching. This category includes those articles introducing new matching systems and algorithms, and also those to describing new or enhanced similarity measures and to analyzing the building blocks of the ontology matching algorithms, while – Content-based: these techniques focus on the internal information coming from the ontologies to be matched. algorithm that derives an alignment from the lexical and structural information of two input ontologies by computing a similarity measure between them. � GLUE (Doan, Madhavan, Domingos, & Halevy, 2004) is a semiautomatic ontology matching system that uses a set of combined machine learning techniques to output the alignment � SOBOM (Xu, Wang, Cheng, & Zang, 2010a) is an ontology matching algorithm that uses as start point a set of anchors provided	./cache/work_23cetdgvhrdpvdevpor2azsreu.pdf	./txt/work_23cetdgvhrdpvdevpor2azsreu.txt